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《慢性乙型重型肝炎的预后因素分析以及预后模型的建立-论文.pdf》由会员上传分享,免费在线阅读,更多相关内容在应用文档-天天文库。
1、中华全科医学2014年4月第12卷第4期ChineseJournalofGeneralPractice,April2014,Vo1.12,No.4·全科医学论著·慢性乙型重型肝炎的预后因素分析以及预后模型的建立谭俊,周密,胡耀仁,邓勤智,胡爱荣,丁世雄摘要:目的研究影响慢性乙型重型肝炎患者短期预后的危险因素,建立预后模型,并比较其与MELD评分对此类患者短期预后的评估价值。方法回顾性分析152例慢性乙型重型肝炎病例,进行单因素及Logistic回归分析。绘制新建预测模型和MELD评分系统的ROC曲线,并比较曲线下面积(AUC)。结果单因素分析后有统计学意义的指标是年龄、肝硬化、TBi
2、l、ALB、CHE、Cr、WBC、INR、BUN、PT、ICGR15。回归模型:P=1/(1+e),Y=0.085×年龄+2.214×肝硬化+0.015×TBil+1.763×INR一16.613,与MELD评分比较差异有统计学意义。结论年龄、肝硬化、TBil、INR是判断慢性乙型重型肝炎患者短期预后的独立危险因素。新建预测模型的预测价值优于MELD评分系统。关键词:慢性乙型重型肝炎;预测模型;Logistic回归分析中图分类号:R512.62文献标识码:A文章编号:1674-4152(2014)04-0569-03Analysisoftheprognosticfactorsandc
3、onstructionofaprognosticmodelofchronicseverehepatitisBTANJun,ZHOUMi,HUYao—ren,eta1.DepartmentofLiverDiseases,NingboNo.2Hospital,Ningbo315016,Zhejing,ChinaAbstract:ObjectiveThisstudywasdesignedtoinvestigatetheclinicalandlaboratoryindicesaffectingtheshort·termprognosisinpatientswithchronicsevereh
4、epatitisBandconstructaprognosticmodel,andcomparethevaluebetweenthemodelandMELDscoreinthepatients.MethodsTheclinicalandlaboratoryindicesof152patientswithchronicseverehepatitisBwereexploredbylogisticregressionanalysis.DrawregressionmodelandMELDscoringROCcurves,andCOB-paretheareaundercurves(AUC)be
5、tweenthem.ResultsComparedwiththesurvivalgroup,theage,livercirrhosis,andthelevelsoftotalbilirubin(TBil),cholinesterase(CHE),bloodureanitrogen(BUN),bloodcreatinine(Cr),peripheralbloodleukocytes(WBC),internationalnormalizedratio(INR)ofbloodcoagulationandprothrombintime(PT),Indocya—ninegreenretenti
6、onrateat15minutes(ICGR15)weresignificantlydifferentinthegroupwhodied.Aregressionmodel:P=1/(1+e一),Y=0.085×age+2.214×livercirhosis+0.015×TBil+1.763×INR一16.613,wasconstructedbylogisticregressionanalysis.ROCanalysisrevealedthemodelwassuperiortoMELDscores.ConclusionAge,livercir—rhosis,TBilandINRwere
7、themainriskfactorsrelatedtoshort—termprognosisofseverehepatitisB.TheprognosticvalueofthemodelwassuperiortotheMELDscoreforpatientswithchronicseverehepatitisB.Keywords:ChronicseverehepatitisB;Prognosticmodel;Logisticregressionanalys
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